Johns Hopkins Applied Physics Laboratory
National Security Artificial Intelligence (AI) Analyst
Johns Hopkins Applied Physics Laboratory, Laurel, Maryland, United States, 20724
National Security Artificial Intelligence (AI) Analyst
Join to apply for the
National Security Artificial Intelligence (AI) Analyst
role at
Johns Hopkins Applied Physics Laboratory This range is provided by Johns Hopkins Applied Physics Laboratory. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range : $100,000.00/yr - $227,500.00/yr Description Be at the cutting edge of transforming national security analysis with artificial intelligence! We're seeking a visionary AI Analyst to spearhead the integration of AI capabilities, including revolutionary large language models (LLMs), across multi-disciplinary national security challenges. As a trailblazer in the Operations and Program Analysis Group (JOP) within the National Security Analysis Department (NSAD), you'll transform analytical studies by fusing AI-driven insights with physics-based modeling, gaming techniques, case studies, and operational analyses. As an Artificial Intelligence (AI) Analyst, you'll have the opportunity to: Drive innovation in AI applications, pushing the boundaries of what's possible in national security analysis. Collaborate with renowned experts in AI, operations research, and national security to shape the future of strategic decision-making. Develop and refine AI-enabled tools and methodologies that will inform critical policy decisions. Stay at the forefront of AI advancements, ensuring our nation remains ahead of the curve in national security. As an Artificial Intelligence (AI) Analyst, you will be responsible for: Assisting in the development of NSAD’s proficiency, working with and refining large language models across several domains. Applying AI-enabled capabilities more broadly to NSAD analyses, including those focused on the tactical and operational use of existing and new systems and programs to support the warfighter at the Department of Defense (DoD), Services, and Combatant Commands. Assisting in developing and applying AI-enabled capabilities across the APL enterprise that bring a strategic or integrative capability to complement or enhance other APL capabilities. Playing an active role in developing ideas to expand NSAD’s application of AI and generative AI capabilities to analyses. Developing and maintaining effective working relationships across NSAD and the Laboratory. Qualifications You meet our minimum requirements for the position if you... Have at least a Bachelor’s degree in computer science, data science, mathematics, or another related analytic subject area. Have proven, relevant experience with generative artificial intelligence applications. Are skilled in data pre-processing and how to handle imbalanced datasets. Are proficient in programming languages commonly used in AI and natural language processing (NLP), such as Python; experience with associated libraries and frameworks such as TensorFlow, PyTorch, etc. Have a curiosity and passion for staying up-to-date with the latest research advancements in AI and how they may apply to relevant problem sets. Are able to apply state-of-the-art techniques to solve practical problems. Demonstrate ability to effectively interact and collaborate with a multi-disciplinary team. Have excellent verbal and written communications skills. Are willing and able to travel an estimated one or more trips per month within the Washington DC/Baltimore metropolitan area. Dependent upon task assignments, additional travel may be required within the US and/or overseas. Are able to obtain an Interim Secret level security clearance by your start date and can ultimately obtain a TS/SCI level clearance. If selected, you will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship. You'll go above and beyond our minimum requirements if you... Have a Master’s degree, Ph.D., or equivalent in computer science, data science, mathematics, or another related analytic subject area. Have experience fine tuning pre-trained language models, adapting them to specific domains, and the ability to design rigorous evaluation protocols and conduct model evaluation experiments. Have a strong understanding of machine learning and deep learning architectures, including transformer models, recurrent neural networks, and convolutional neural networks; proficiency in machine learning algorithms and optimization techniques. Have experience in the analysis of tactical and operational employment of military systems that affect DoD program development. Have in-depth knowledge of NLP concepts and techniques, and experience with NLP tasks such as classification, named entity recognition, sentiment analysis, and text generation. About Us The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nation’s most critical defense, security, space and science challenges. While we are dedicated to solving complex challenges and pioneering new technologies, what makes us truly outstanding is our culture. We offer a vibrant, welcoming atmosphere where you can bring your authentic self to work, continue to grow, and build strong connections with inspiring teammates. APL’s campus is located in the Baltimore-Washington metro area. All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, genetic information, veteran status, occupation, marital or familial status, political opinion, personal appearance, or any other characteristic protected by applicable law. APL is committed to providing reasonable accommodation to individuals of all abilities, including those with disabilities. If you require a reasonable accommodation to participate in any part of the hiring process, please contact Accommodations@jhuapl.edu.
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Join to apply for the
National Security Artificial Intelligence (AI) Analyst
role at
Johns Hopkins Applied Physics Laboratory This range is provided by Johns Hopkins Applied Physics Laboratory. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range : $100,000.00/yr - $227,500.00/yr Description Be at the cutting edge of transforming national security analysis with artificial intelligence! We're seeking a visionary AI Analyst to spearhead the integration of AI capabilities, including revolutionary large language models (LLMs), across multi-disciplinary national security challenges. As a trailblazer in the Operations and Program Analysis Group (JOP) within the National Security Analysis Department (NSAD), you'll transform analytical studies by fusing AI-driven insights with physics-based modeling, gaming techniques, case studies, and operational analyses. As an Artificial Intelligence (AI) Analyst, you'll have the opportunity to: Drive innovation in AI applications, pushing the boundaries of what's possible in national security analysis. Collaborate with renowned experts in AI, operations research, and national security to shape the future of strategic decision-making. Develop and refine AI-enabled tools and methodologies that will inform critical policy decisions. Stay at the forefront of AI advancements, ensuring our nation remains ahead of the curve in national security. As an Artificial Intelligence (AI) Analyst, you will be responsible for: Assisting in the development of NSAD’s proficiency, working with and refining large language models across several domains. Applying AI-enabled capabilities more broadly to NSAD analyses, including those focused on the tactical and operational use of existing and new systems and programs to support the warfighter at the Department of Defense (DoD), Services, and Combatant Commands. Assisting in developing and applying AI-enabled capabilities across the APL enterprise that bring a strategic or integrative capability to complement or enhance other APL capabilities. Playing an active role in developing ideas to expand NSAD’s application of AI and generative AI capabilities to analyses. Developing and maintaining effective working relationships across NSAD and the Laboratory. Qualifications You meet our minimum requirements for the position if you... Have at least a Bachelor’s degree in computer science, data science, mathematics, or another related analytic subject area. Have proven, relevant experience with generative artificial intelligence applications. Are skilled in data pre-processing and how to handle imbalanced datasets. Are proficient in programming languages commonly used in AI and natural language processing (NLP), such as Python; experience with associated libraries and frameworks such as TensorFlow, PyTorch, etc. Have a curiosity and passion for staying up-to-date with the latest research advancements in AI and how they may apply to relevant problem sets. Are able to apply state-of-the-art techniques to solve practical problems. Demonstrate ability to effectively interact and collaborate with a multi-disciplinary team. Have excellent verbal and written communications skills. Are willing and able to travel an estimated one or more trips per month within the Washington DC/Baltimore metropolitan area. Dependent upon task assignments, additional travel may be required within the US and/or overseas. Are able to obtain an Interim Secret level security clearance by your start date and can ultimately obtain a TS/SCI level clearance. If selected, you will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship. You'll go above and beyond our minimum requirements if you... Have a Master’s degree, Ph.D., or equivalent in computer science, data science, mathematics, or another related analytic subject area. Have experience fine tuning pre-trained language models, adapting them to specific domains, and the ability to design rigorous evaluation protocols and conduct model evaluation experiments. Have a strong understanding of machine learning and deep learning architectures, including transformer models, recurrent neural networks, and convolutional neural networks; proficiency in machine learning algorithms and optimization techniques. Have experience in the analysis of tactical and operational employment of military systems that affect DoD program development. Have in-depth knowledge of NLP concepts and techniques, and experience with NLP tasks such as classification, named entity recognition, sentiment analysis, and text generation. About Us The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nation’s most critical defense, security, space and science challenges. While we are dedicated to solving complex challenges and pioneering new technologies, what makes us truly outstanding is our culture. We offer a vibrant, welcoming atmosphere where you can bring your authentic self to work, continue to grow, and build strong connections with inspiring teammates. APL’s campus is located in the Baltimore-Washington metro area. All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, genetic information, veteran status, occupation, marital or familial status, political opinion, personal appearance, or any other characteristic protected by applicable law. APL is committed to providing reasonable accommodation to individuals of all abilities, including those with disabilities. If you require a reasonable accommodation to participate in any part of the hiring process, please contact Accommodations@jhuapl.edu.
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